This document provides instructions and details to set up and execute the Predictive-Project. Follow the steps outlined to ensure a smooth workflow.

Ensure the following dependencies are installed with the specified versions to avoid compatibility issues:

Note: Any deviation from the specified versions may cause issues due to package deprecations or incompatibility.

The dataset required for this project can be downloaded from the National Centers for Environmental Information (NCEI) website. Follow these steps to retrieve the data:

1. Go to: NCEI Dataset Site.
2. Conditions:
   • Select Weather Observation Type/Dataset: Daily summaries.
   • Date Range: 1st Jan 2000 - 1st Jan 2024.
   • Search For: Stations.
   • Search Term: Jacksonville International Airport.
3. Download the relevant dataset and organize it as per project requirements.

Refer to the file Label-Info.txt for any required abbreviations used in the project.

1. Navigate to the project directory: Ensure you are in the Predictive-Project folder before executing the following commands.

2. Make the script file executable: Run the command:

   chmod +x run.sh

3. Execute the script file: Run the command:

   ./run.sh

This will set up the environment and execute the Python notebook.

If running the script file is not preferred, manually set up the Python environment using the specified dependencies and execute the notebook through a compatible IDE or Jupyter Notebook.

• Ensure all dependencies are properly installed before proceeding.
• Use the specified dataset and ensure its structure aligns with the project requirements.
• If any errors occur during execution, refer to Label-Info.txt for clarification on dataset labels or abbreviations.

Author: [Your Name/Team Name]
Last Updated: [Date]